You are successfully registered
Thanks for telling us about yourself, ! Now we know who we're talking to, and can create content you'll love
We use cookies for three reasons: to give you the best experience on PGS, to make sure the PGS ads you see on other sites are relevant , and to measure website usage. Some of these cookies are necessary to help the site work properly and can’t be switched off. Cookies also support us to provide our services for free, and by click on “Accept” below, you are agreeing to our use of cookies.You can manage your preferences now or at any time.
We use cookies, which are small text files placed on your computer, to allow the site to work for you, improve your user experience, to provide us with information about how our site is used, and to deliver personalised ads which help fund our work and deliver our service to you for free.
The information does not usually directly identify you, but it can give you a more personalised web experience.
You can accept all, or else manage cookies individually. However, blocking some types of cookies may affect your experience of the site and the services we are able to offer.
You can change your cookies preference at any time by visiting our Cookies Notice page. Please remember to clear your browsing data and cookies when you change your cookies preferences. This will remove all cookies previously placed on your browser.
For more detailed information about the cookies we use, or how to clear your browser cookies data see our Cookies Notice
Strictly necessary cookies
These cookies are necessary for the website to function and cannot be switched off in our systems.
They are essential for you to browse the website and use its features.
You can set your browser to block or alert you about these cookies, but some parts of the site will not then work. We can’t identify you from these cookies.
Functional cookies
These help us personalise our sites for you by remembering your preferences and settings. They may be set by us or by third party providers, whose services we have added to our pages. If you do not allow these cookies, then these services may not function properly.
Performance cookies
These cookies allow us to count visits and see where our traffic comes from, so we can measure and improve the performance of our site. They help us to know which pages are popular and see how visitors move around the site. The cookies cannot directly identify any individual users.
If you do not allow these cookies we will not know when you have visited our site and will not be able to improve its performance for you.
Marketing cookies
These cookies may be set through our site by social media services or our advertising partners. Social media cookies enable you to share our content with your friends and networks. They can track your browser across other sites and build up a profile of your interests. If you do not allow these cookies you may not be able to see or use the content sharing tools.
Advertising cookies may be used to build a profile of your interests and show you relevant adverts on other sites. They do not store directly personal information, but work by uniquely identifying your browser and internet device. If you do not allow these cookies, you will still see ads, but they won’t be tailored to your interests.
Full time
1 year
SEP-26
MSc - Master of Science
Earth Sciences
The MSc in Applied Computational Earth Science is designed to prepare the next generation of scientists for the evolving demands of the energy transition and sustainable geoenergy resource management.
Introduction
This cutting-edge programme combines geoscience knowledge with advanced computational skills, offering two specialised pathways: ‘Big Data and AI’ and ‘Geoenergy’. You’ll gain expertise in computational methods, geomodelling, machine learning, and geoenergy solutions, enabling you to tackle real-world challenges such as carbon capture and storage, geothermal energy, and geological subsurface modelling.
The modules available in the Big Data and AI pathway develop key skills in data mining, machine learning, optimisation, and visualisation – essential for analysing complex Earth science datasets. Optionality in these modules reflects the growing and diverse role of AI and data science in Earth science, providing students with in-demand, transferable skills. The Geoenergy pathway was designed in consultation with industry to address a critical skills gap in geothermal energy, carbon storage, and subsurface resource management. Its structure ensures students gain both the technical knowledge and practical experience for careers in the energy transition.
Throughout the programme, you’ll develop essential skills in algorithm design, collaborative problem-solving, and independent research while applying software engineering principles to geoscience problems. You will also enhance your ability to communicate technical findings to diverse audiences – both in-person and digitally – and derive evidence-based conclusions through quantitative analysis.
With a curriculum aligned to industry needs and delivered by leading experts, this MSc ensures you are equipped for emerging careers in sectors such as renewable energy, environmental consulting, and digital geoscience, all of which operate within a globally relevant context.
As industries pivot toward sustainable energy solutions, the demand for professionals with computational geoscience skills is rapidly increasing. Our MSc in Applied Computational Earth Science provides an opportunity to be at the forefront of this pivotal transition.
For this course (per year)
£13,300
For this course (per year)
£30,800
We accept a 2:2 honours degree from a UK university, or an equivalent academic qualification from a similar non-UK institution. This degree should be in a relevant subject.
Non-graduates with very extensive professional experience and/or other prior qualifications may also be considered.
Full time | 1 year | SEP-26
Full time | 1 year | SEP-26
Full time | 2 years | SEP-26
Full time | 1 year | SEP-26
Full time | 1 year | SEP-26